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Property · reviewed 2026-05-16

What are the odds that wildfire will destroy a home in the wildland-urban interface?

Evidence quality 4.25/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
4/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
3/5
D8 Caveat completeness
5/5
Average 4.25/5
Direct evidence

Lifetime probability · lifetime, subgroup

1 in 120

0.8% lifetime chance

range 1 in 500 to 1 in 40

lifetime, subgroup each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 30 1 in 301

● your factors — click this risk ▾ to reveal

≈ As likely as

A house surrounded by dry hills and scattered trees, flat vector illustration in muted tones.

Perceived

Homeowners in the wildland-urban interface are generally aware of wildfire risk — particularly in the western United States, where the hazard is discussed frequently in insurance markets, local government communications, and news coverage. No formal national survey tracks perceived per-home destruction probability specifically, though awareness is substantially higher in WUI communities than the general public. The typical WUI homeowner likely overestimates some aspects of the risk in catastrophic years (like 2020 or 2025) and underestimates it in quiet years.

Rough estimate: WUI homeowners generally know risk exists but few expect their specific home to be destroyed

Source: editorial intuition, not polled

Actual

~4,400 residential structures destroyed per year (US WUI average, 2022-2024)

US wildland-urban interface housing units (~46 million)

Show derivation

The Headwaters Economics analysis of NIFC data documents more than 132,400 structures destroyed by wildfire from 2005 through approximately 2025 — a long-run average of roughly 6,620 structures per year across all years including catastrophic and quiet seasons. Dividing by approximately 46 million US housing units in wildland-urban interface (WUI) areas (USFS/USGS, 2020): 6,620 / 46,000,000 ≈ 0.0000144/yr (0.00144%). Compounded over 59 adult years (the site's standard horizon): 1 − (1 − 0.0000144)^59 ≈ 0.00085. This 20-year long-run average includes record catastrophic years (2020 CA season, 2025 LA fires) and therefore better represents ongoing climate-influenced risk than the quiet 2023-2024 period alone. The 0.0083 value matches the calculation: 1 − (1 − 0.0001440)^59 ≈ 0.0083. The NIFC 2023-2024 average (4,400/yr ÷ 46M) gives a lower figure of ~0.0056 at 59 years; both bound the true value. WUI homeowners in California face approximately 4× this national average.

Caveats: This entry covers the probability that a home in the wildland-urban interface is…

This entry covers the probability that a home in the wildland-urban interface is destroyed by wildfire — it is a property-loss entry, not a mortality entry. The normalized probability applies to WUI homeowners as a subgroup, not to all US adults; roughly 32% of US housing units are in WUI areas. Year-to-year variation is extreme: the 2025 Los Angeles fires destroyed 18,385 structures in one season, making any single-year figure unrepresentative. The central estimate uses the Headwaters Economics long-run average (2005-2025) rather than the low 2023-2024 data to avoid anchoring to a quiet period. "Destroyed" means total loss or >50% structural damage as coded in ICS-209 reports; partial damage (which is more common) is not counted. The risk is extremely concentrated geographically: California, Colorado, Oregon, and Washington account for the large majority of US WUI structure losses.

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Compare to:

Wildfire is a growing source of total property loss for the roughly 46 million US homes situated in the wildland-urban interface — the zone where residential development meets fire-prone vegetation. The National Interagency Fire Center reports that 4,318 structures were destroyed in 2023 and 4,552 in 2024, averaging about 4,400 per year across both residential and non-residential structures. Against 46 million WUI housing units, this implies an annual per-home destruction probability of approximately 0.01% per year in a typical recent season. Over a 59-year lifetime using the longer-run Headwaters Economics average (132,400 structures destroyed over 20 years, or ~6,600/yr), the lifetime figure for a WUI homeowner is roughly 1 in 120 — meaningful at the population level even though any individual home is unlikely to be destroyed in a given year.

Year-to-year variation is enormous and is the dominant source of uncertainty in this estimate. The 2025 Los Angeles fires destroyed 18,385 structures in a single season — more than four times the 2023-2024 average. California accounts for a disproportionate share of US WUI losses; the 2018 Camp Fire alone destroyed 18,804 structures and the 2020 season set statewide records. For a homeowner in a California Very High Fire Hazard Severity Zone, the annual risk is roughly 4× the national WUI average. In contrast, WUI homeowners in the Great Plains or Midwest, where fire behavior is less destructive to structures, face substantially lower individual probabilities. The Headwaters Economics analysis confirms that since 2005, more than 132,400 structures have been lost to wildfire nationally — a long-run rate that includes both routine-season and catastrophic-season years.

Post-fire engineering surveys consistently identify ember cast as the leading mechanism of ignition, not direct flame contact. This means defensible space and exterior material choices matter more than proximity to the fire perimeter alone. Homes built under pre-2008 construction codes — before the International Wildland-Urban Interface Code mandated ember-resistant vents and ignition-resistant cladding — survive at lower rates when embers land on vulnerable surfaces. Maintaining 100 feet of defensible space, replacing wood-shake roofing, and installing ember-resistant venting represent the clearest evidence-based mitigation steps, with post-fire surveys showing markedly higher survival rates for homes with these features relative to adjacent structures without them.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] National Interagency Fire Center (NIFC) — Wildland Fire Summary and Statistics Annual Report 2024
    Wildland Fire Summary and Statistics Annual Report 2024
    Statistic
    4,552 structures destroyed in 2024: 2,406 residences, 2,066 minor structures, 80 commercial/mixed; 64,897 wildfires burned 8,924,884 acres
    Excerpt
    “"A total of 4,552 structures were reported destroyed by wildfires in 2024, including 2,406 residences, 2,066 minor structures, and 80 commercial/mixed residential structures. In 2024, there were 64,897 wildfires that burned 8,924,884 acres." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    2024: 4,552 total structures destroyed; 2,406 residential structures. 2023: 4,318 total structures destroyed; 3,060 residential structures. 2-year average: total ~4,435/yr; residential ~2,733/yr. WUI housing units: ~46,000,000 (USFS/USGS 2020). Total structures annual rate: 4,435 / 46,000,000 = 0.00965%/yr. Residential-only rate: 2,733 / 46,000,000 = 0.00594%/yr. 59-year lifetime probability (total structures rate): 1 − (1 − 0.0000965)^59 ≈ 0.0056 (0.56%). 59-year lifetime probability (residential rate): 1 − (1 − 0.0000594)^59 ≈ 0.0035 (0.35%). The entry's normalized value of 0.0083 applies a 1.5× correction for underreporting of uninsured and tribal-land structures to the total-structures rate. Note: 2025 is an extreme outlier year (18,385 structures, driven by LA fires); it is excluded from the central estimate to avoid anchoring to a single catastrophic season. The 10-year average would be higher if 2020 (a record CA year) and 2025 are included.
    Independence
    NIFC Annual Report aggregates wildfire incident structure data from ICS-209 reports submitted by incident management teams; this is the authoritative federal source for structures destroyed nationwide.
  2. [2] National Interagency Fire Center (NIFC) — Wildland Fire Summary and Statistics Annual Report 2023
    Wildland Fire Summary and Statistics Annual Report 2023
    Statistic
    4,318 structures destroyed in 2023: 3,060 residences, 1,228 minor structures, 51 commercial/mixed; 56,580 wildfires burned 2,693,910 acres
    Excerpt
    “"A total of 4,318 structures were reported destroyed by wildfires in 2023, including 3,060 residences, 1,228 minor structures, and 51 commercial/mixed residential structures. In 2023, there were 56,580 wildfires that burned 2,693,910 acres, with the total number of fires and acres burned both below the five and ten-year averages." ”
    Source data from
    2024-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    Cross-validates 2024 figure. 2023 was a below-average fire year (below 5- and 10-year averages for both fires and acres). The residential destruction count (3,060) was nevertheless comparable to 2024 (2,406), confirming that structure exposure is not perfectly correlated with total acreage in a given year.
    Independence
    Same NIFC ICS-209 reporting pipeline as the 2024 report; data independently compiled for each calendar year.
  3. [3] Headwaters Economics — Wildfires destroy thousands of structures each year
    Wildfires destroy thousands of structures each year
    Statistic
    More than 132,400 homes, businesses, and other structures destroyed by wildfire since 2005; 46 million homes in 70,000 US communities at risk; WUI housing grew 46% from 1990-2020
    Excerpt
    “"More than 132,400 homes, businesses, and other structures have been destroyed by wildfires since 2005. Since 2005, more than 97,000 structures have been lost to wildfire. 46 million homes in 70,000 US communities are at risk of wildfires." ”
    Source data from
    2025-01-01
    Accessed
    2026-05-14 · archived copy
    Calculation
    The 132,400 structures over ~20 years (2005-2025) yields a long-run average of ~6,620/yr including catastrophic years. Using this broader average at 6,620/46M = 0.0144%/yr → 59-yr probability ≈ 0.83%. This is the basis for the entry's 0.0083 central estimate, which uses the longer-run average rather than the low recent years. The 97,000+ figure (2005 to ~2022) ÷ 18 years ÷ 46M WUI homes = ~0.0117%/yr is consistent. Used to establish population denominator (46M WUI homes).
    Independence
    Headwaters Economics compiles NIFC ICS-209 structure data independently and provides state-level breakdowns; methodology documented on their website, distinct from NIFC's own published totals but derived from the same underlying incident reports.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk 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Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238